The goal of the CRISP associate team between GraphDeco and UC Berkeley is to investigate novel ways to create, render and interact with images based on the study of human perception. To achieve this goal we focus on understanding how people perceive complex material, lighting and shape, on developing new rendering algorithms based on this understanding, and on building interactive tools that enable users to efficiently specify the kind of image they wish to create. More specifically, we explore the following research directions: Images are generated from the interaction of lighting, material, and geometry. We will evaluate how people perceive material, lighting, and geometry in realistic images such as photographs, and non-realistic images such as drawings and paintings. This knowledge of human perception is essential for developing efficient rendering algorithms and interaction tools that focus on the most important perceptual features of an image. We will develop rendering algorithms that generate images that are plausible with respect to the user's intent and allocate resources on the visual features that best contribute to perception. We will also explore the use of non-photorealistic rendering to enhance perception of lighting, material, and geometry. We will facilitate the creation and manipulation of images by developing novel drawing and editing interfaces for novice and professional users. Our aim is to give users direct and high-level handles on the relevant visual features that contribute to the perception of material, lighting and geometry in an image.
News
June 2015 | paper
We presented two papers at EGSR 2015. One paper introduces an algorithm for efficient light transport simulation. The other paper unifies color and texture transfer to change seasons in images!
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